Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0411003(2023)

Microscope Autofocus Method Based on Image Evaluation

Hai Yang1、*, Xuanzhang Feng1, Jiayi Liu2, and Bingxiang Yang1
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan, China
  • 2Engineering Management Section of Shunan Gas Mine, Southwest Oil and Gas Field Branch, Chengdu 610506, Sichuan, China
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    Figures & Tables(19)
    Image segmentation diagram
    Flow chart of the simulated annealing algorithm
    Flow chart of static autofocus
    Evaluation function diagram of ideal focus/defocus images
    Flow chart of defocus detection
    Flow chart of dynamic real-time focusing
    Composition diagram of microscope auto-focusing experimental equipment
    Auto-focusing experimental equipment of microscope
    Focused images. (a) Pipeline model; (b) oil-water interface; (c) small blisters in the oil; (d) oil-water emulsion 1; (e) big blisters in the oil ; (f) oil-water emulsion 2
    Curve comparison of different methods. (a) Pipeline model; (b) oil-water interface; (c) small blisters in the oil; (d) oil-water emulsion 1; (e) big blisters in the oil ; (f) oil-water emulsion 2
    Comparison of image evaluation function curves. (a) Pipeline model; (b) oil-water interface; (c) small blisters in the oil; (d) oil-water emulsion 1; (e) big blisters in the oil ; (f) oil-water emulsion 2
    Simulated local extremum function curve. (a) Image group 1; (b) image group 2; (c) image group 3; (d) image group 4
    Focus/defocus evaluation curve and defocus detection curve of the same images
    Defocus level curve of dynamic observation images
    Real-time sample defocus amount average value curve
    • Table 1. Performance indicators of different methods

      View table

      Table 1. Performance indicators of different methods

      MethodKVt /s
      Full-image7.21040.013261.3594
      Center window5.02580.01541.9654
      Inverted T1.98280.02672.1425
      Multi-points2.15870.03683.2634
      Sub-block38.72700.00351.4322
    • Table 2. Performance index of each evaluation function

      View table

      Table 2. Performance index of each evaluation function

      FunctionKVt /s
      Variance3.89850.03590.4303
      SMD4.21380.02761.9872
      Laplacian6.87460.01190.5475
      Tenengrad37.58630.00971.1749
      Brenner4.56870.01050.7127
      WT38.72700.00351.2550
    • Table 3. Parameter setting of simulated annealing algorithm

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      Table 3. Parameter setting of simulated annealing algorithm

      T0Tminnr
      -4f00.5T0100.85
    • Table 4. Simulation curve time consuming

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      Table 4. Simulation curve time consuming

      CurveStep 2Step 3Step 4Step 5
      Fig. 12(a)4.3253.2642.3421.345
      Fig. 12(b)4.2683.1562.8701.096
      Fig. 12(c)4.1022.8931.9781.021
      Fig. 12(d)4.2693.1722.1361.143
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    Hai Yang, Xuanzhang Feng, Jiayi Liu, Bingxiang Yang. Microscope Autofocus Method Based on Image Evaluation[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0411003

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    Paper Information

    Category: Imaging Systems

    Received: Nov. 29, 2021

    Accepted: Jan. 5, 2022

    Published Online: Feb. 14, 2023

    The Author Email: Yang Hai (yanghaiswpu@163.com)

    DOI:10.3788/LOP213088

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